Challenges and Opportunities of System-Level Prognostics

Prognostics and health management (PHM) has become an essential function for safe system operation and scheduling economic maintenance. To date, there has been much research and publications on component-level prognostics. In practice, however, most industrial systems consist of multiple components...

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Autores principales:	Seokgoo Kim, Joo-Ho Choi, Nam H. Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	system-level prognostics performance remaining useful life dependency multiple components challenges Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/62a3189b090b49d7b94922b12316c616
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spelling	oai:doaj.org-article:62a3189b090b49d7b94922b12316c6162021-11-25T18:58:15ZChallenges and Opportunities of System-Level Prognostics10.3390/s212276551424-8220https://doaj.org/article/62a3189b090b49d7b94922b12316c6162021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7655https://doaj.org/toc/1424-8220Prognostics and health management (PHM) has become an essential function for safe system operation and scheduling economic maintenance. To date, there has been much research and publications on component-level prognostics. In practice, however, most industrial systems consist of multiple components that are interlinked. This paper aims to provide a review of approaches for system-level prognostics. To achieve this goal, the approaches are grouped into four categories: health index-based, component RUL-based, influenced component-based, and multiple failure mode-based prognostics. Issues of each approach are presented in terms of the target systems and employed algorithms. Two examples of PHM datasets are used to demonstrate how the system-level prognostics should be conducted. Challenges for practical system-level prognostics are also addressed.Seokgoo KimJoo-Ho ChoiNam H. KimMDPI AGarticlesystem-level prognosticsperformanceremaining useful lifedependencymultiple componentschallengesChemical technologyTP1-1185ENSensors, Vol 21, Iss 7655, p 7655 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	system-level prognostics performance remaining useful life dependency multiple components challenges Chemical technology TP1-1185
spellingShingle	system-level prognostics performance remaining useful life dependency multiple components challenges Chemical technology TP1-1185 Seokgoo Kim Joo-Ho Choi Nam H. Kim Challenges and Opportunities of System-Level Prognostics
description	Prognostics and health management (PHM) has become an essential function for safe system operation and scheduling economic maintenance. To date, there has been much research and publications on component-level prognostics. In practice, however, most industrial systems consist of multiple components that are interlinked. This paper aims to provide a review of approaches for system-level prognostics. To achieve this goal, the approaches are grouped into four categories: health index-based, component RUL-based, influenced component-based, and multiple failure mode-based prognostics. Issues of each approach are presented in terms of the target systems and employed algorithms. Two examples of PHM datasets are used to demonstrate how the system-level prognostics should be conducted. Challenges for practical system-level prognostics are also addressed.
format	article
author	Seokgoo Kim Joo-Ho Choi Nam H. Kim
author_facet	Seokgoo Kim Joo-Ho Choi Nam H. Kim
author_sort	Seokgoo Kim
title	Challenges and Opportunities of System-Level Prognostics
title_short	Challenges and Opportunities of System-Level Prognostics
title_full	Challenges and Opportunities of System-Level Prognostics
title_fullStr	Challenges and Opportunities of System-Level Prognostics
title_full_unstemmed	Challenges and Opportunities of System-Level Prognostics
title_sort	challenges and opportunities of system-level prognostics
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/62a3189b090b49d7b94922b12316c616
work_keys_str_mv	AT seokgookim challengesandopportunitiesofsystemlevelprognostics AT joohochoi challengesandopportunitiesofsystemlevelprognostics AT namhkim challengesandopportunitiesofsystemlevelprognostics
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Challenges and Opportunities of System-Level Prognostics

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